Abstract:
:Changes in protein function can lead to changes in the selection acting on specific residues. This can often be detected as evolutionary rate changes at the sites in question. A maximum-likelihood method for detecting evolutionary rate shifts at specific protein positions is presented. The method determines significance values of the rate differences to give a sound statistical foundation for the conclusions drawn from the analyses. A statistical test for detecting slowly evolving sites is also described. The methods are applied to a set of Myc proteins for the identification of both conserved sites and those with changing evolutionary rates. Those positions with conserved and changing rates are related to the structures and functions of their proteins. The results are compared with an earlier Bayesian method, thereby highlighting the advantages of the new likelihood ratio tests.
journal_name
Proc Natl Acad Sci U S Aauthors
Knudsen B,Miyamoto MMdoi
10.1073/pnas.251526398keywords:
subject
Has Abstractpub_date
2001-12-04 00:00:00pages
14512-7issue
25eissn
0027-8424issn
1091-6490pii
98/25/14512journal_volume
98pub_type
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